{"version":"1.0","provider_name":"KWR","provider_url":"https:\/\/www.kwrwater.nl\/en\/","author_name":"KWR - YK","author_url":"https:\/\/www.kwrwater.nl\/en\/actueel\/author\/yvonne\/","title":"Machine learning predictions outside our comfort zone - KWR","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"Ff6irVLZr2\"><a href=\"https:\/\/www.kwrwater.nl\/en\/actueel\/machine-learning-predictions-outside-our-comfort-zone\/\">Machine learning predictions outside our comfort zone<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.kwrwater.nl\/en\/actueel\/machine-learning-predictions-outside-our-comfort-zone\/embed\/#?secret=Ff6irVLZr2\" width=\"600\" height=\"338\" title=\"&#8220;Machine learning predictions outside our comfort zone&#8221; &#8212; KWR\" data-secret=\"Ff6irVLZr2\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.kwrwater.nl\/wp-content\/uploads\/2021\/08\/overstroming-hoog-water.jpg","thumbnail_width":960,"thumbnail_height":640,"description":"Machine learning (ML) has given us a new tool to better predict hydrological events and their impact on our urban water systems.\u00a0(see for example link, link).\u00a0They can provide us with more accurate predictions of system behavior (water demand,..."}